Artificial Intelligence in Pediatric Dentistry
Keywords:
Artificial intelligence, Pediatric Dentistry, ApplicationsAbstract
Artificial intelligence (AI) has gained significant momentum in the field of pediatric dentistry, with applications aimed at improving diagnostics, treatment planning, patient engagement, and research. The integration of AI technologies in dental practices offers potential to enhance the accuracy of diagnoses, predict treatment outcomes, customize patient-specific treatments, and streamline practice management. AI-driven tools, such as machine learning algorithms, can analyze complex dental data, including radiographs, photographs, and clinical notes, to aid in early detection and management of oral diseases prevalent in children. Moreover, AI can provide educational resources tailored to young patients, fostering better oral health habits.
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References
1. Vishwanathaiah S, Fageeh HN, Khanagar SB, Maganur PC. Artificial Intelligence Its Uses and Application in Pediatric Dentistry: A Review. Biomedicines. 2023;11(3):788.
2. Tandon D, Rajawat J. Present and future of artificial intelligence in dentistry. J Oral Biol Craniofac Res. 2020;10(4):391-396.
3. Hartman H, Nurdin D, Akbar S, Cahyanto A, Setiawan AS. Exploring the potential of artificial intelligence in paediatric dentistry: A systematic review on deep learning algorithms for dental anomaly detection. Int J Paediatr Dent. Published online January 31, 2024.
4. Thurzo A, Urbanová W, Novák B, et al. Where Is the Artificial Intelligence Applied in Dentistry? Systematic Review and Literature Analysis. Healthcare (Basel). 2022;10(7):1269
5. Ghods K, Azizi A, Jafari A, Ghods K. Application of Artificial Intelligence in Clinical Dentistry, a Comprehensive Review of Literature. J Dent (Shiraz). 2023;24(4):356-371.
6. Vodanović M, Subašić M, Milošević D, Savić Pavičin I. Artificial Intelligence in Medicine and Dentistry. Acta Stomatol Croat. 2023;57(1):70-84.
7. Chen YW, Stanley K, Att W. Artificial intelligence in dentistry: current applications and future perspectives [published correction appears in Quintessence Int. 2020;51(5):430].
8. Liu J, Zhang C, Shan Z. Application of Artificial Intelligence in Orthodontics: Current State and Future Perspectives. Healthcare (Basel). 2023;11(20):2760. 9. Wang Y, Guo L, Xiong X. Effects of Virtual Reality-Based Distraction of Pain, Fear, and Anxiety During Needle-Related Procedures in Children and Adolescents. Front Psychol. 2022;13:842847
10. Surlari Z, Budală DG, Lupu CI, Stelea CG, Butnaru OM, Luchian I. Current Progress and Challenges of Using Artificial Intelligence in Clinical Dentistry-A Narrative Review. J Clin Med. 2023;12(23):7378.
11. Bonny T, Al Nassan W, Obaideen K, Al Mallahi MN, Mohammad Y, El Damanhoury HM. Contemporary Role and Applications of Artificial Intelligence in Dentistry. F1000Res. 2023;12:1179.
